------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/dotanhaim/Dropbox/DHNR Philippine Police/3. EGAP (POP - One Sorsogon Reloaded)/3.14 - Re
> plication Files/Effects on PNP/HRS_APSR_Replication/3_Tables/0_raw/bootstrapped_logfile.log
  log type:  text
 opened on:  23 Jul 2024, 14:42:46

. 
. 
. *****************************************************

. * BOOTSTRAPPED RESULTS: Replicate Manuscript Tables *

. *****************************************************

. 
. set seed 123456

. import delimited "~/Dropbox/DHNR Philippine Police/3. EGAP (POP - One Sorsogon Reloaded)/3.14 - Replicatio
> n Files/Effects on PNP/HRS_APSR_Replication/2_Data/POLICE_wide.csv",clear
(105 vars, 888 obs)

. 
. * Replicate Table A.5: Main Treatment Effects

. preserve

. foreach i in top4match_pnplgu officer_attitude_idx trust_idx empathy_idx accountability_idx corrupt_idx {
  2. bootstrap: areg `i'_e  z_pop_assign `i'_m miss_bline rank_m_spo, vce(cl station_m) absorb(station_m)
  3. estimates store `i'_p
  4. if "`i'" == "top4match_pnplgu" {
  5. outreg2 [`i'_p] using  "TabA15_MainResults_bootstrapped.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_p] using  "TabA15_MainResults_bootstrapped.xls", append  tex dec(2)
  9. }
 10. 
. bootstrap: areg `i'_e  z_pop_assign miss_bline rank_m_spo, vce(cl station_m) absorb(station_m)
 11. estimates store `i'_c
 12. if "`i'" == "top4match_pnplgu" {
 13. outreg2 [`i'_c] using  "TabA15_MainResults_bootstrapped.xls", append  tex dec(2)
 14. }
 15. else {
 16. outreg2 [`i'_c] using  "TabA15_MainResults_bootstrapped.xls", append  tex dec(2)
 17. }
 18. }
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50

Linear regression, absorbing indicators         Number of obs     =        627
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         50
                                                Wald chi2(3)      =      59.69
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1267
                                                Adj R-squared     =     0.0978
                                                Root MSE          =     0.8060

                                    (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------------
                   |   Observed   Bootstrap                         Normal-based
top4match_pnplgu_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
      z_pop_assign |   .2054351    .105307     1.95   0.051    -.0009629    .4118332
top4match_pnplgu_m |   .2702661    .044922     6.02   0.000     .1822205    .3583117
        miss_bline |          0  (omitted)
        rank_m_spo |  -.1196161   .0911584    -1.31   0.189    -.2982833    .0590511
             _cons |   1.187907   .0774114    15.35   0.000     1.036184    1.339631
------------------------------------------------------------------------------------
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.xx..x..x....x......x...x..xx.......xx.x.x.xxx....    50

Linear regression, absorbing indicators         Number of obs     =        632
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         34
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0745
                                                Adj R-squared     =     0.0442
                                                Root MSE          =     0.8268

                              (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
top4m~plgu_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |   .2481442   .1021223     2.43   0.015     .0479881    .4483003
  miss_bline |  -.0252315   .0402427    -0.63   0.531    -.1041057    .0536428
  rank_m_spo |  -.1178703   .0821476    -1.43   0.151    -.2788767    .0431361
       _cons |   1.462805   .0485595    30.12   0.000      1.36763     1.55798
------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 16 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.....xxx.x..x........x.x.x......x.x...xx..........    50

Linear regression, absorbing indicators         Number of obs     =        460
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         38
                                                Wald chi2(3)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0960
                                                Adj R-squared     =     0.0527
                                                Root MSE          =     0.5241

                                        (Replications based on 18 clusters in station_m)
----------------------------------------------------------------------------------------
                       |   Observed   Bootstrap                         Normal-based
officer_attitude_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
          z_pop_assign |   .0553945   .0529694     1.05   0.296    -.0484236    .1592127
officer_attitude_idx_m |   .2600697   .0694063     3.75   0.000     .1240359    .3961036
            miss_bline |      .3516   .0345584    10.17   0.000     .2838669    .4193331
            rank_m_spo |  -.0667363   .0483644    -1.38   0.168    -.1615288    .0280563
                 _cons |   -.130878    .063959    -2.05   0.041    -.2562354   -.0055206
----------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 12 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.x..x..xxxx.x....x..x......xxxxx.x.x..x.xxxxx..xx.    50

Linear regression, absorbing indicators         Number of obs     =        534
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         26
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0367
                                                Adj R-squared     =    -0.0009
                                                Root MSE          =     0.5378

                              (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
officer_~x_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.0140149   .0559735    -0.25   0.802    -.1237209    .0956912
  miss_bline |   .2055645   .0293555     7.00   0.000     .1480287    .2631003
  rank_m_spo |  -.0271091    .047685    -0.57   0.570      -.12057    .0663517
       _cons |  -.0773266   .0572974    -1.35   0.177    -.1896275    .0349743
------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 24 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
x....xx.x..x...x...x....x.x.xx.xxx..x..xx......x.x    50

Linear regression, absorbing indicators         Number of obs     =        656
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         31
                                                Wald chi2(3)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.2075
                                                Adj R-squared     =     0.1813
                                                Root MSE          =     0.7476

                              (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
 trust_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.0574808   .0571945    -1.01   0.315    -.1695799    .0546183
 trust_idx_m |   .3419614    .055658     6.14   0.000     .2328736    .4510491
  miss_bline |   .0561811   .0290763     1.93   0.053    -.0008074    .1131695
  rank_m_spo |    .189953   .0821256     2.31   0.021     .0289898    .3509162
       _cons |  -.1738288   .0562835    -3.09   0.002    -.2841425   -.0635151
------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 19 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.xx..x.xx...x..x..xx.......xxx.x....x...xx.x..xx..    50

Linear regression, absorbing indicators         Number of obs     =        671
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         31
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.1319
                                                Adj R-squared     =     0.1052
                                                Root MSE          =     0.7832

                              (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
 trust_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.0176594   .0454235    -0.39   0.697    -.1066878     .071369
  miss_bline |    -.03918   .0407678    -0.96   0.337    -.1190834    .0407233
  rank_m_spo |     .22992   .0901203     2.55   0.011     .0532875    .4065526
       _cons |  -.1609913   .0760192    -2.12   0.034    -.3099861   -.0119964
------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 19 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.x...x.xx.xx.x...x....xxx.x.x.x..x.xx........x....    50

Linear regression, absorbing indicators         Number of obs     =        652
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         32
                                                Wald chi2(3)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.1031
                                                Adj R-squared     =     0.0732
                                                Root MSE          =     0.7306

                               (Replications based on 18 clusters in station_m)
-------------------------------------------------------------------------------
              |   Observed   Bootstrap                         Normal-based
empathy_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
 z_pop_assign |  -.1150241   .1053368    -1.09   0.275    -.3214805    .0914324
empathy_idx_m |   .2762888   .0403484     6.85   0.000     .1972073    .3553703
   miss_bline |   .0850039   .0437449     1.94   0.052    -.0007346    .1707423
   rank_m_spo |   .0594709   .0792725     0.75   0.453    -.0959004    .2148422
        _cons |  -.0585766   .0527083    -1.11   0.266     -.161883    .0447298
-------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
....x.x.x..x...x..x.xx..x...xx...xxxx..x..x....x..    50

Linear regression, absorbing indicators         Number of obs     =        672
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         32
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0375
                                                Adj R-squared     =     0.0079
                                                Root MSE          =     0.7617

                              (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
empathy_~x_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.0848982   .0622594    -1.36   0.173    -.2069243     .037128
  miss_bline |  -.0092627   .0287504    -0.32   0.747    -.0656124     .047087
  rank_m_spo |   .0761545   .0620851     1.23   0.220      -.04553     .197839
       _cons |  -.0536409   .0403079    -1.33   0.183    -.1326429    .0253612
------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.xx......xx.xx...xx.....x..xx.x..x..x..x.xx..x....    50

Linear regression, absorbing indicators         Number of obs     =        536
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         32
                                                Wald chi2(3)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.1607
                                                Adj R-squared     =     0.1264
                                                Root MSE          =     0.6304

                                      (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------
                     |   Observed   Bootstrap                         Normal-based
accountability_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
        z_pop_assign |   -.000886   .0642212    -0.01   0.989    -.1267572    .1249852
accountability_idx_m |   .4281971   .0422212    10.14   0.000     .3454451    .5109492
          miss_bline |   .5072298   .0399823    12.69   0.000     .4288659    .5855936
          rank_m_spo |  -.1001534   .0762382    -1.31   0.189    -.2495775    .0492708
               _cons |  -.1520511   .0667744    -2.28   0.023    -.2829265   -.0211756
--------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.x....xx.x...xx..x.xx....x..........x.....xx...x.x    50

Linear regression, absorbing indicators         Number of obs     =        587
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         35
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0491
                                                Adj R-squared     =     0.0155
                                                Root MSE          =     0.6676

                              (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
accounta~x_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |   .0036005   .0622122     0.06   0.954    -.1183332    .1255342
  miss_bline |   .4267254    .041393    10.31   0.000     .3455966    .5078542
  rank_m_spo |  -.0618558   .0660814    -0.94   0.349     -.191373    .0676614
       _cons |  -.1376204   .0413515    -3.33   0.001    -.2186679   -.0565729
------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 15 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
xxx..x...x.x..x...xx....x.....xx.......x.xxxxxxx..    50

Linear regression, absorbing indicators         Number of obs     =        589
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         30
                                                Wald chi2(3)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0967
                                                Adj R-squared     =     0.0633
                                                Root MSE          =     0.7472

                               (Replications based on 18 clusters in station_m)
-------------------------------------------------------------------------------
              |   Observed   Bootstrap                         Normal-based
corrupt_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
 z_pop_assign |   .1161167   .0622991     1.86   0.062    -.0059874    .2382207
corrupt_idx_m |   .2570099   .0557999     4.61   0.000     .1476441    .3663758
   miss_bline |  -.2864193   .0206248   -13.89   0.000    -.3268431   -.2459955
   rank_m_spo |  -.1538588   .0405572    -3.79   0.000    -.2333494   -.0743681
        _cons |   .1175482   .0412239     2.85   0.004     .0367508    .1983455
-------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 20 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
x....x.....x.x...x..x..x...xxxxx...x.x..x.x....xx.    50

Linear regression, absorbing indicators         Number of obs     =        621
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         32
                                                Wald chi2(2)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0517
                                                Adj R-squared     =     0.0201
                                                Root MSE          =     0.7830

                              (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------
             |   Observed   Bootstrap                         Normal-based
corrupt_~x_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |   .0656686   .0615832     1.07   0.286    -.0550323    .1863694
  miss_bline |   -.244896   .0185532   -13.20   0.000    -.2812596   -.2085324
  rank_m_spo |  -.1806183   .0436622    -4.14   0.000    -.2661947   -.0950419
       _cons |   .1398587   .0445288     3.14   0.002      .052584    .2271335
------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA15_MainResults_bootstrapped.tex
TabA15_MainResults_bootstrapped.xls
dir : seeout

. 
. restore

. 
. *Replicate Table A.6: Heterogeneous Treatment Effects - Embeddedness

. preserve

. foreach i in top4match_pnplgu officer_attitude_idx trust_idx empathy_idx accountability_idx corrupt_idx {
  2. bootstrap: areg `i'_e  i.z_pop_assign##i.lives_in_sorsogon `i'_m miss_bline rank_m_spo, vce(cl station_
> m) absorb(station_m)
  3. estimates store `i'_he
  4. if "`i'" == "top4match_pnplgu" {
  5. outreg2 [`i'_he] using  "TabA16_HetEffects_Embed_bootstrapped.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_he] using  "TabA16_HetEffects_Embed_bootstrapped.xls", append  tex dec(2)
  9. }
 10. }
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..................................................    50

Linear regression, absorbing indicators         Number of obs     =        627
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         50
                                                Wald chi2(5)      =     106.02
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1304
                                                Adj R-squared     =     0.0988
                                                Root MSE          =     0.8056

                                                (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |   Observed   Bootstrap                         Normal-based
            top4match_pnplgu_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2806092   .1662636     1.69   0.091    -.0452615    .6064799
           1.lives_in_sorsogon |   .1874214   .0957638     1.96   0.050    -.0002722     .375115
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.0853815   .1985687    -0.43   0.667     -.474569    .3038061
                               |
            top4match_pnplgu_m |   .2692608   .0356694     7.55   0.000     .1993501    .3391715
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1214848   .0790087    -1.54   0.124    -.2763391    .0333695
                         _cons |   1.024169   .1377499     7.43   0.000      .754184    1.294154
------------------------------------------------------------------------------------------------
TabA16_HetEffects_Embed_bootstrapped.tex
TabA16_HetEffects_Embed_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
....x...x.....xx.x.xx....x.x...x.x..x..x.x...x.x..    50

Linear regression, absorbing indicators         Number of obs     =        460
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         34
                                                Wald chi2(5)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.1050
                                                Adj R-squared     =     0.0578
                                                Root MSE          =     0.5227

                                                (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |   Observed   Bootstrap                         Normal-based
        officer_attitude_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |    .307764   .1362207     2.26   0.024     .0407763    .5747517
           1.lives_in_sorsogon |   .1713505   .0183538     9.34   0.000     .1353777    .2073233
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.2760381   .1436911    -1.92   0.055    -.5576675    .0055912
                               |
        officer_attitude_idx_m |   .2589956   .0662617     3.91   0.000      .129125    .3888662
                    miss_bline |   .3776441   .0357952    10.55   0.000     .3074868    .4478014
                    rank_m_spo |  -.0736097   .0519616    -1.42   0.157    -.1754526    .0282332
                         _cons |  -.2862708   .0567502    -5.04   0.000    -.3974991   -.1750425
------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 16 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA16_HetEffects_Embed_bootstrapped.tex
TabA16_HetEffects_Embed_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
x.x..x.x....x........x....................x.x..x.x    50

Linear regression, absorbing indicators         Number of obs     =        656
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         40
                                                Wald chi2(5)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.2136
                                                Adj R-squared     =     0.1850
                                                Root MSE          =     0.7459

                                                (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |   Observed   Bootstrap                         Normal-based
                   trust_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2918193   .2487953     1.17   0.241    -.1958106    .7794491
           1.lives_in_sorsogon |   .1970226   .0554534     3.55   0.000      .088336    .3057092
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.3837881   .2638743    -1.45   0.146    -.9009722     .133396
                               |
                   trust_idx_m |   .3445485   .0444201     7.76   0.000     .2574867    .4316103
                    miss_bline |   .0545497   .0291597     1.87   0.061    -.0026022    .1117016
                    rank_m_spo |   .1884628   .0746277     2.53   0.012     .0421951    .3347305
                         _cons |  -.3442888   .0623587    -5.52   0.000    -.4665097    -.222068
------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 10 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA16_HetEffects_Embed_bootstrapped.tex
TabA16_HetEffects_Embed_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.x.x.x.x...xxx..xx.xx..x.........xxxxxxx..x.xx....    50

Linear regression, absorbing indicators         Number of obs     =        652
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         28
                                                Wald chi2(5)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.1126
                                                Adj R-squared     =     0.0801
                                                Root MSE          =     0.7279

                                                (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |   Observed   Bootstrap                         Normal-based
                 empathy_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2760704   .1661928     1.66   0.097    -.0496616    .6018024
           1.lives_in_sorsogon |   .2324008   .1057835     2.20   0.028     .0250689    .4397327
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.4303255   .1709128    -2.52   0.012    -.7653085   -.0953424
                               |
                 empathy_idx_m |   .2719518   .0360803     7.54   0.000     .2012357    .3426678
                    miss_bline |   .0799476   .0331898     2.41   0.016     .0148968    .1449983
                    rank_m_spo |   .0576185   .0565948     1.02   0.309    -.0533053    .1685423
                         _cons |  -.2588556   .0933974    -2.77   0.006    -.4419112      -.0758
------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 22 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA16_HetEffects_Embed_bootstrapped.tex
TabA16_HetEffects_Embed_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
...x.....xxx..xx..xx.x..x....x........x.......xx.x    50

Linear regression, absorbing indicators         Number of obs     =        536
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         35
                                                Wald chi2(5)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.1629
                                                Adj R-squared     =     0.1252
                                                Root MSE          =     0.6308

                                                (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |   Observed   Bootstrap                         Normal-based
          accountability_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .0830943   .2064048     0.40   0.687    -.3214518    .4876403
           1.lives_in_sorsogon |   .1128165   .0810309     1.39   0.164    -.0460011     .271634
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.0932376   .2117675    -0.44   0.660    -.5082942    .3218191
                               |
          accountability_idx_m |   .4285861   .0348043    12.31   0.000     .3603709    .4968013
                    miss_bline |   .5250106   .0369224    14.22   0.000     .4526442    .5973771
                    rank_m_spo |  -.1032129   .0536648    -1.92   0.054    -.2083939    .0019681
                         _cons |  -.2550163    .099588    -2.56   0.010    -.4502052   -.0598274
------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 15 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA16_HetEffects_Embed_bootstrapped.tex
TabA16_HetEffects_Embed_bootstrapped.xls
dir : seeout
(running areg on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
....xx.x..xx....xx..x.x....x.xx..x.x...x...x..x.x.    50

Linear regression, absorbing indicators         Number of obs     =        589
Absorbed variable: station_m                    No. of categories =         18
                                                Replications      =         32
                                                Wald chi2(5)      =          .
                                                Prob > chi2       =          .
                                                R-squared         =     0.0972
                                                Adj R-squared     =     0.0605
                                                Root MSE          =     0.7483

                                                (Replications based on 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |   Observed   Bootstrap                         Normal-based
                 corrupt_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .1191891   .3582647     0.33   0.739    -.5829968     .821375
           1.lives_in_sorsogon |  -.0549185   .0923425    -0.59   0.552    -.2359064    .1260694
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.0025813   .3436438    -0.01   0.994    -.6761108    .6709483
                               |
                 corrupt_idx_m |   .2585119   .0625467     4.13   0.000     .1359227    .3811011
                    miss_bline |  -.2861798   .0287782    -9.94   0.000    -.3425841   -.2297755
                    rank_m_spo |  -.1530292   .0498551    -3.07   0.002    -.2507435   -.0553149
                         _cons |    .165136   .0835438     1.98   0.048     .0013931    .3288789
------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA16_HetEffects_Embed_bootstrapped.tex
TabA16_HetEffects_Embed_bootstrapped.xls
dir : seeout

. 
. restore

. 
. *Replicate Table A.7: Heterogeneous Treatment Effects - Rebel Presence (Trust Outcomes)

. preserve

. foreach i in trust_idx trust_safe trust_intent trust_info npa_sympathy {
  2. bootstrap: reg `i'_e  i.z_pop_assign##c.npa_2015_presence `i'_m miss_bline rank_m_spo, vce(cl station_m
> )
  3. estimates store `i'_hn
  4. if "`i'" == "trust_idx" {
  5. outreg2 [`i'_hn] using  "TabA17_HetEffects_NPAsub_bootstrapped.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_hn] using  "TabA17_HetEffects_NPAsub_bootstrapped.xls", append  tex dec(2)
  9. }
 10. }
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.....x...x.......xxx..x.xx..x..xxx..x.x.x..x...xx.    50

Linear regression                               Number of obs     =        612
                                                Replications      =         32
                                                Wald chi2(6)      =     406.61
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1682
                                                Adj R-squared     =     0.1599
                                                Root MSE          =     0.7517

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                     trust_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1710798   .1048257     1.63   0.103    -.0343747    .3765343
               npa_2015_presence |   .2296183   .0960706     2.39   0.017     .0413235    .4179132
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5684205   .1323639    -4.29   0.000    -.8278489   -.3089921
                                 |
                     trust_idx_m |   .4008106   .0387345    10.35   0.000     .3248923    .4767289
                      miss_bline |  -.1232156   .0798421    -1.54   0.123    -.2797033    .0332722
                      rank_m_spo |   .2441242   .0708892     3.44   0.001     .1051838    .3830646
                           _cons |  -.2094697   .0959978    -2.18   0.029    -.3976219   -.0213176
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA17_HetEffects_NPAsub_bootstrapped.tex
TabA17_HetEffects_NPAsub_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..x...x.xx..xxx..x...x..xx......xxx...x..x.x..x..x    50

Linear regression                               Number of obs     =        635
                                                Replications      =         31
                                                Wald chi2(6)      =     523.08
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1241
                                                Adj R-squared     =     0.1157
                                                Root MSE          =    23.8075

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                    trust_safe_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   4.860856   3.012657     1.61   0.107    -1.043844    10.76556
               npa_2015_presence |   2.945374   2.898685     1.02   0.310    -2.735944    8.626691
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -17.10443   5.591275    -3.06   0.002    -28.06312   -6.145729
                                 |
                    trust_safe_m |    .326206   .0575634     5.67   0.000     .2133838    .4390282
                      miss_bline |   19.60993    6.06634     3.23   0.001     7.720119    31.49973
                      rank_m_spo |   7.159611   2.105135     3.40   0.001     3.033621     11.2856
                           _cons |    46.3528   6.143924     7.54   0.000     34.31093    58.39467
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 19 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA17_HetEffects_NPAsub_bootstrapped.tex
TabA17_HetEffects_NPAsub_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.x.x.xx..xx....x....x...xx..x....x.xx....x.x......    50

Linear regression                               Number of obs     =        628
                                                Replications      =         34
                                                Wald chi2(6)      =     165.96
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1348
                                                Adj R-squared     =     0.1264
                                                Root MSE          =    20.2933

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                  trust_intent_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   6.241707   2.367041     2.64   0.008     1.602393    10.88102
               npa_2015_presence |   8.723056   2.769843     3.15   0.002     3.294264    14.15185
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   -19.1448   3.952243    -4.84   0.000    -26.89106   -11.39855
                                 |
                  trust_intent_m |   .3511192   .0652948     5.38   0.000     .2231438    .4790945
                      miss_bline |   25.27798   6.301886     4.01   0.000     12.92651    37.62945
                      rank_m_spo |   4.501197   1.816122     2.48   0.013     .9416636    8.060731
                           _cons |   44.88915   6.390133     7.02   0.000     32.36472    57.41359
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 16 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA17_HetEffects_NPAsub_bootstrapped.tex
TabA17_HetEffects_NPAsub_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..x..x.x...x....xx.....x.....x.xx..........x.x.x..    50

Linear regression                               Number of obs     =        628
                                                Replications      =         37
                                                Wald chi2(6)      =     119.78
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1059
                                                Adj R-squared     =     0.0973
                                                Root MSE          =    17.6886

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                    trust_info_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |    2.25781   1.374919     1.64   0.101    -.4369808    4.952601
               npa_2015_presence |   4.323122   1.944033     2.22   0.026     .5128866    8.133358
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -5.042701   1.937565    -2.60   0.009    -8.840259   -1.245144
                                 |
                    trust_info_m |   .2823638   .0298451     9.46   0.000     .2238686    .3408591
                      miss_bline |   19.93616   2.596581     7.68   0.000     14.84695    25.02536
                      rank_m_spo |   4.984138   1.813287     2.75   0.006      1.43016    8.538115
                           _cons |   52.75693   2.869825    18.38   0.000     47.13217    58.38168
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 13 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA17_HetEffects_NPAsub_bootstrapped.tex
TabA17_HetEffects_NPAsub_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
....xx.x.xx...xx....x.x.......x...x.x.....xx.x....    50

Linear regression                               Number of obs     =        636
                                                Replications      =         35
                                                Wald chi2(6)      =     513.99
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1615
                                                Adj R-squared     =     0.1535
                                                Root MSE          =    25.7958

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                  npa_sympathy_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   -6.86381   2.711023    -2.53   0.011    -12.17732   -1.550303
               npa_2015_presence |  -5.110457   2.500418    -2.04   0.041    -10.01119   -.2097284
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   12.50227   7.653932     1.63   0.102    -2.499164     27.5037
                                 |
                  npa_sympathy_m |   .4087289   .0266225    15.35   0.000     .3565498    .4609079
                      miss_bline |   23.16888   1.851489    12.51   0.000     19.54003    26.79773
                      rank_m_spo |  -3.475245   2.568429    -1.35   0.176    -8.509273    1.558783
                           _cons |   30.80867   2.509742    12.28   0.000     25.88967    35.72768
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 15 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA17_HetEffects_NPAsub_bootstrapped.tex
TabA17_HetEffects_NPAsub_bootstrapped.xls
dir : seeout

. 
. restore

. 
. *Replicate Table A.8: Heterogeneous Treatment Effects - Rebel Presence

. preserve

. foreach i in top4match_pnplgu officer_attitude_idx trust_idx empathy_idx accountability_idx corrupt_idx tr
> ust_idx_alt {
  2. bootstrap: reg `i'_e  i.z_pop_assign##c.npa_2015_presence `i'_m miss_bline rank_m_spo, vce(cl station_m
> )
  3. estimates store `i'_hn
  4. if "`i'" == "top4match_pnplgu" {
  5. outreg2 [`i'_hn] using  "TabA18_HetEffects_NPA_bootstrapped.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_hn] using  "TabA18_HetEffects_NPA_bootstrapped.xls", append tex dec(2)
  9. }
 10. }
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.xxxx...x..x.x....x....x.x..xx....x.x..x...xx.....    50

Linear regression                               Number of obs     =        627
                                                Replications      =         33
                                                Wald chi2(6)      =     116.48
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.0912
                                                Adj R-squared     =     0.0825
                                                Root MSE          =     0.8128

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
              top4match_pnplgu_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1538316   .0846632     1.82   0.069    -.0121052    .3197685
               npa_2015_presence |   .0910245   .0903619     1.01   0.314    -.0860815    .2681306
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   .1843944   .2040883     0.90   0.366    -.2156113    .5844001
                                 |
              top4match_pnplgu_m |   .2787958   .0338578     8.23   0.000     .2124358    .3451559
                      miss_bline |   .3547332   .0679006     5.22   0.000     .2216506    .4878159
                      rank_m_spo |  -.0669424   .0777502    -0.86   0.389    -.2193299    .0854451
                           _cons |   1.065049   .0842586    12.64   0.000     .8999053    1.230193
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 17 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA18_HetEffects_NPA_bootstrapped.tex
TabA18_HetEffects_NPA_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
..x...xxxx...xx...x.x.x..xx.x....x.xxx..x..x..x...    50

Linear regression                               Number of obs     =        431
                                                Replications      =         30
                                                Wald chi2(6)      =      91.55
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.0656
                                                Adj R-squared     =     0.0524
                                                Root MSE          =     0.5218

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
          officer_attitude_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .0052127    .043787     0.12   0.905    -.0806082    .0910335
               npa_2015_presence |  -.1976536   .0790049    -2.50   0.012    -.3525004   -.0428067
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   .0910391   .1670384     0.55   0.586    -.2363503    .4184284
                                 |
          officer_attitude_idx_m |     .25991    .067105     3.87   0.000     .1283865    .3914334
                      miss_bline |  -.0400406   .0365229    -1.10   0.273    -.1116241    .0315429
                      rank_m_spo |  -.0346948   .0405167    -0.86   0.392    -.1141061    .0447165
                           _cons |   .0289742   .0413801     0.70   0.484    -.0521293    .1100776
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 20 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA18_HetEffects_NPA_bootstrapped.tex
TabA18_HetEffects_NPA_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.xx.xx.xx...x.x....x...x.xx...x....xx.....xxxx.x..    50

Linear regression                               Number of obs     =        612
                                                Replications      =         30
                                                Wald chi2(6)      =     293.46
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1682
                                                Adj R-squared     =     0.1599
                                                Root MSE          =     0.7517

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                     trust_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1710798   .0914949     1.87   0.062    -.0082469    .3504065
               npa_2015_presence |   .2296183   .0971414     2.36   0.018     .0392246     .420012
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5684205   .1070186    -5.31   0.000    -.7781732   -.3586678
                                 |
                     trust_idx_m |   .4008106   .0584688     6.86   0.000     .2862139    .5154073
                      miss_bline |  -.1232156    .082518    -1.49   0.135     -.284948    .0385168
                      rank_m_spo |   .2441242   .0671256     3.64   0.000     .1125605    .3756879
                           _cons |  -.2094697   .0991125    -2.11   0.035    -.4037266   -.0152128
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 20 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA18_HetEffects_NPA_bootstrapped.tex
TabA18_HetEffects_NPA_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
.x..x..x..xx.x...x.x..x..xx.x.xx..x.x....x..x.....    50

Linear regression                               Number of obs     =        610
                                                Replications      =         32
                                                Wald chi2(6)      =     211.31
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.0750
                                                Adj R-squared     =     0.0658
                                                Root MSE          =     0.7217

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                   empathy_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |  -.0277943   .0969116    -0.29   0.774    -.2177376    .1621489
               npa_2015_presence |   .0866645   .0879643     0.99   0.325    -.0857423    .2590714
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   -.157837   .2316375    -0.68   0.496    -.6118381    .2961642
                                 |
                   empathy_idx_m |   .2707389    .034215     7.91   0.000     .2036787     .337799
                      miss_bline |  -.0522384   .0543957    -0.96   0.337     -.158852    .0543751
                      rank_m_spo |   .1241653   .0539544     2.30   0.021     .0184166    .2299139
                           _cons |  -.0626468   .0741847    -0.84   0.398    -.2080461    .0827526
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA18_HetEffects_NPA_bootstrapped.tex
TabA18_HetEffects_NPA_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
x.xx..xx.....xx...x...xxx..x..........xx..xx.x..x.    50

Linear regression                               Number of obs     =        500
                                                Replications      =         32
                                                Wald chi2(6)      =     463.77
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1416
                                                Adj R-squared     =     0.1312
                                                Root MSE          =     0.6238

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
            accountability_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   -.078927   .0626533    -1.26   0.208    -.2017252    .0438713
               npa_2015_presence |  -.2133518   .0750427    -2.84   0.004    -.3604329   -.0662708
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   .2630851    .100043     2.63   0.009     .0670045    .4591658
                                 |
            accountability_idx_m |   .4555156   .0257405    17.70   0.000     .4050651    .5059661
                      miss_bline |   .0838088    .033332     2.51   0.012     .0184792    .1491384
                      rank_m_spo |  -.0763811   .0458117    -1.67   0.095    -.1661704    .0134081
                           _cons |    .010878   .0327041     0.33   0.739    -.0532208    .0749768
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 18 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA18_HetEffects_NPA_bootstrapped.tex
TabA18_HetEffects_NPA_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
xx..x..x...xx....xx..x....x..x......x.............    50

Linear regression                               Number of obs     =        554
                                                Replications      =         38
                                                Wald chi2(6)      =      77.08
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.0782
                                                Adj R-squared     =     0.0681
                                                Root MSE          =     0.7413

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                   corrupt_idx_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .0812014   .0777853     1.04   0.297     -.071255    .2336579
               npa_2015_presence |  -.2105293   .0634107    -3.32   0.001    -.3348119   -.0862467
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   -.060668   .1042413    -0.58   0.561    -.2649772    .1436413
                                 |
                   corrupt_idx_m |   .2493557   .0616253     4.05   0.000     .1285723    .3701391
                      miss_bline |  -.1572209   .0394017    -3.99   0.000    -.2344468   -.0799949
                      rank_m_spo |  -.1787495   .0499533    -3.58   0.000    -.2766561   -.0808428
                           _cons |   .1558446   .0450423     3.46   0.001     .0675633    .2441259
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 12 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA18_HetEffects_NPA_bootstrapped.tex
TabA18_HetEffects_NPA_bootstrapped.xls
dir : seeout
(running regress on estimation sample)

Bootstrap replications (50)
----+--- 1 ---+--- 2 ---+--- 3 ---+--- 4 ---+--- 5 
....x......x............x.x.x...xx.xx.x.xx...x..x.    50

Linear regression                               Number of obs     =        634
                                                Replications      =         36
                                                Wald chi2(6)      =     221.75
                                                Prob > chi2       =     0.0000
                                                R-squared         =     0.1677
                                                Adj R-squared     =     0.1597
                                                Root MSE          =     0.7585

                                                  (Replications based on 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |   Observed   Bootstrap                         Normal-based
                 trust_idx_alt_e |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1916024   .0804711     2.38   0.017     .0338819    .3493229
               npa_2015_presence |   .2484277   .1004081     2.47   0.013     .0516316    .4452239
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5770179   .1455429    -3.96   0.000    -.8622766   -.2917591
                                 |
                 trust_idx_alt_m |   .4040933   .0519598     7.78   0.000      .302254    .5059326
                      miss_bline |  -.1345406   .0743673    -1.81   0.070    -.2802979    .0112167
                      rank_m_spo |   .2220215   .0760955     2.92   0.004     .0728771     .371166
                           _cons |  -.2193715     .08548    -2.57   0.010    -.3869092   -.0518338
--------------------------------------------------------------------------------------------------
Note: One or more parameters could not be estimated in 14 bootstrap replicates;
      standard-error estimates include only complete replications.
TabA18_HetEffects_NPA_bootstrapped.tex
TabA18_HetEffects_NPA_bootstrapped.xls
dir : seeout

. 
. restore

. 
. 
. *****************************************************

. * WEIGHTED REGRESSION: Replicate Manuscript Tables *

. *****************************************************

. 
. *Count of POP-treated barangays by police station_m

. *Barcelona3

. *Bulan13

. *Bulusan5

. *Casiguran5

. *Castilla8

. *Donsol9

. *Gubat10

. *Irosin4

. *Juban5

. *Magallanes4

. *Matnog4

. *Pilar9

. *Prieto Diaz4

. *Santa Magdalena2

. *Sorsogon14

. 
. gen count_pop_bgys_per_station_m=.
(888 missing values generated)

. replace count_pop_bgys_per_station_m =3 if station_m=="barcelona"
(24 real changes made)

. replace count_pop_bgys_per_station_m =13 if station_m=="bulan"
(50 real changes made)

. replace count_pop_bgys_per_station_m =5 if station_m=="bulusan"
(24 real changes made)

. replace count_pop_bgys_per_station_m =5 if station_m=="casiguran"
(25 real changes made)

. replace count_pop_bgys_per_station_m =8 if station_m=="castilla"
(30 real changes made)

. replace count_pop_bgys_per_station_m =9 if station_m=="donsol"
(29 real changes made)

. replace count_pop_bgys_per_station_m =10 if station_m=="gubat"
(31 real changes made)

. replace count_pop_bgys_per_station_m =4 if station_m=="irosin"
(34 real changes made)

. replace count_pop_bgys_per_station_m =5 if station_m=="juban"
(26 real changes made)

. replace count_pop_bgys_per_station_m =4 if station_m=="magallanes"
(26 real changes made)

. replace count_pop_bgys_per_station_m =4 if station_m=="matnog"
(26 real changes made)

. replace count_pop_bgys_per_station_m =9 if station_m=="pilar"
(32 real changes made)

. replace count_pop_bgys_per_station_m =4 if station_m=="prietodias"
(20 real changes made)

. replace count_pop_bgys_per_station_m =2 if station_m=="santamagdalena"
(26 real changes made)

. replace count_pop_bgys_per_station_m =14 if station_m=="sorsogon1"
(138 real changes made)

. replace count_pop_bgys_per_station_m =14 if station_m=="sorsogon2"
(134 real changes made)

. replace count_pop_bgys_per_station_m =14 if station_m=="sorsogonppo"
(23 real changes made)

. 
. gen station_m_dup_for_weighted_reg=station_m

. replace station_m_dup_for_weighted_reg="sorsogon" if station_m=="sorsogon1"
(138 real changes made)

. replace station_m_dup_for_weighted_reg="sorsogon" if station_m=="sorsogon2"
(134 real changes made)

. replace station_m_dup_for_weighted_reg="sorsogon" if station_m=="sorsogonppo"
(23 real changes made)

. 
. gen weighted_reg_denominator=.
(888 missing values generated)

. replace weighted_reg_denominator=20 if station_m=="barcelona" & rank_m_spo==0
(20 real changes made)

. replace weighted_reg_denominator=35 if station_m=="bulan" & rank_m_spo==0
(35 real changes made)

. replace weighted_reg_denominator=16 if station_m=="bulusan" & rank_m_spo==0
(16 real changes made)

. replace weighted_reg_denominator=21 if station_m=="casiguran" & rank_m_spo==0
(21 real changes made)

. replace weighted_reg_denominator=23 if station_m=="castilla" & rank_m_spo==0
(23 real changes made)

. replace weighted_reg_denominator=20 if station_m=="donsol" & rank_m_spo==0
(20 real changes made)

. replace weighted_reg_denominator=23 if station_m=="gubat" & rank_m_spo==0
(23 real changes made)

. replace weighted_reg_denominator=25 if station_m=="irosin" & rank_m_spo==0
(25 real changes made)

. replace weighted_reg_denominator=18 if station_m=="juban" & rank_m_spo==0
(18 real changes made)

. replace weighted_reg_denominator=20 if station_m=="magallanes" & rank_m_spo==0
(20 real changes made)

. replace weighted_reg_denominator=21 if station_m=="matnog" & rank_m_spo==0
(21 real changes made)

. replace weighted_reg_denominator=27 if station_m=="pilar" & rank_m_spo==0
(27 real changes made)

. replace weighted_reg_denominator=11 if station_m=="prietodias" & rank_m_spo==0
(11 real changes made)

. replace weighted_reg_denominator=22 if station_m=="santamagdalena" & rank_m_spo==0
(22 real changes made)

. replace weighted_reg_denominator=245 if station_m=="sorsogon1" & rank_m_spo==0
(116 real changes made)

. replace weighted_reg_denominator=245 if station_m=="sorsogon2" & rank_m_spo==0
(126 real changes made)

. replace weighted_reg_denominator=245 if station_m=="sorsogonppo" & rank_m_spo==0
(3 real changes made)

. 
. replace weighted_reg_denominator=4 if station_m=="barcelona" & rank_m_spo==1
(4 real changes made)

. replace weighted_reg_denominator=15 if station_m=="bulan" & rank_m_spo==1
(15 real changes made)

. replace weighted_reg_denominator=8 if station_m=="bulusan" & rank_m_spo==1
(8 real changes made)

. replace weighted_reg_denominator=4 if station_m=="casiguran" & rank_m_spo==1
(4 real changes made)

. replace weighted_reg_denominator=7 if station_m=="castilla" & rank_m_spo==1
(7 real changes made)

. replace weighted_reg_denominator=9 if station_m=="donsol" & rank_m_spo==1
(9 real changes made)

. replace weighted_reg_denominator=8 if station_m=="gubat" & rank_m_spo==1
(8 real changes made)

. replace weighted_reg_denominator=9 if station_m=="irosin" & rank_m_spo==1
(9 real changes made)

. replace weighted_reg_denominator=8 if station_m=="juban" & rank_m_spo==1
(8 real changes made)

. replace weighted_reg_denominator=6 if station_m=="magallanes" & rank_m_spo==1
(6 real changes made)

. replace weighted_reg_denominator=5 if station_m=="matnog" & rank_m_spo==1
(5 real changes made)

. replace weighted_reg_denominator=5 if station_m=="pilar" & rank_m_spo==1
(5 real changes made)

. replace weighted_reg_denominator=9 if station_m=="prietodias" & rank_m_spo==1
(9 real changes made)

. replace weighted_reg_denominator=4 if station_m=="santamagdalena" & rank_m_spo==1
(4 real changes made)

. replace weighted_reg_denominator=50 if station_m=="sorsogon1" & rank_m_spo==1
(22 real changes made)

. replace weighted_reg_denominator=50 if station_m=="sorsogon2" & rank_m_spo==1
(8 real changes made)

. replace weighted_reg_denominator=50 if station_m=="sorsogonppo" & rank_m_spo==1
(20 real changes made)

. 
. *Simple weight; assumes weight=0 if station_m=="."

. gen simple_weight=count_pop_bgys_per_station_m/weighted_reg_denominator
(190 missing values generated)

. replace simple_weight=1 if simple_weight>1
(214 real changes made)

. 
. *Adjusted weight; assumes weight=0 if station_m=="."; 0.19 likelihood that original assigned officer drops
>  out; "control" officer is included in replacement

. gen adjusted_weight=count_pop_bgys_per_station_m/weighted_reg_denominator
(190 missing values generated)

. replace adjusted_weight=1 if adjusted_weight>1
(214 real changes made)

. replace adjusted_weight=(count_pop_bgys_per_station_m/weighted_reg_denominator)+(0.19*(1/(weighted_reg_den
> ominator-count_pop_bgys_per_station_m))) if z_pop_assign==0 & station_m!=""
(643 real changes made, 182 to missing)

. 
. *Replicate Table A.5: Main Treatment Effects

. preserve

. foreach i in top4match_pnplgu officer_attitude_idx trust_idx empathy_idx accountability_idx corrupt_idx {
  2. areg `i'_e  z_pop_assign `i'_m miss_bline rank_m_spo [pweight=simple_weight], vce(cl station_m) absorb(
> station_m)
  3. estimates store `i'_pw
  4. if "`i'" == "top4match_pnplgu" {
  5. outreg2 [`i'_pw] using  "TabA19_MainResults_weighted.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_pw] using  "TabA19_MainResults_weighted.xls", append  tex dec(2)
  9. }
 10. areg `i'_e  z_pop_assign miss_bline rank_m_spo [pweight=simple_weight], vce(cl station_m) absorb(statio
> n_m)
 11. estimates store `i'_cw
 12. if "`i'" == "top4match_pnplgu" {
 13. outreg2 [`i'_cw] using  "TabA19_MainResults_weighted.xls", append  tex dec(2)
 14. }
 15. else {
 16. outreg2 [`i'_cw] using  "TabA19_MainResults_weighted.xls", append  tex dec(2)
 17. }
 18. }
(sum of wgt is 271.8190871328115)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        627
Absorbed variable: station_m                    No. of categories =         18
                                                F(   3,     17)   =      23.40
                                                Prob > F          =     0.0000
                                                R-squared         =     0.0989
                                                Adj R-squared     =     0.0692
                                                Root MSE          =     0.8145

                                   (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------
                   |               Robust
top4match_pnplgu_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
      z_pop_assign |   .1776123   .1178316     1.51   0.150    -.0709905    .4262152
top4match_pnplgu_m |   .2743254   .0456403     6.01   0.000     .1780328    .3706179
        miss_bline |          0  (omitted)
        rank_m_spo |  -.1306326   .0835431    -1.56   0.136     -.306893    .0456279
             _cons |   1.306338   .0312631    41.79   0.000     1.240379    1.372298
------------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 276.8190871328115)

Linear regression, absorbing indicators         Number of obs     =        632
Absorbed variable: station_m                    No. of categories =         18
                                                F(   2,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0654
                                                Adj R-squared     =     0.0348
                                                Root MSE          =     0.8239

                             (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------
             |               Robust
top4m~plgu_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |   .2079984   .1172247     1.77   0.094    -.0393242     .455321
  miss_bline |  -.0279874   .0391632    -0.71   0.485    -.1106146    .0546397
  rank_m_spo |  -.1302722   .0805999    -1.62   0.124    -.3003232    .0397788
       _cons |   1.505482   .0397194    37.90   0.000     1.421682    1.589283
------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 222.8632028251886)

Linear regression, absorbing indicators         Number of obs     =        460
Absorbed variable: station_m                    No. of categories =         18
                                                F(   3,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0764
                                                Adj R-squared     =     0.0321
                                                Root MSE          =     0.5481

                                       (Std. Err. adjusted for 18 clusters in station_m)
----------------------------------------------------------------------------------------
                       |               Robust
officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
          z_pop_assign |   .0747454   .0459819     1.63   0.122     -.022268    .1717588
officer_attitude_idx_m |   .3087985   .1017603     3.03   0.007      .094103    .5234941
            miss_bline |   .3821045   .0461675     8.28   0.000     .2846996    .4795095
            rank_m_spo |   -.024733   .0682891    -0.36   0.722    -.1688104    .1193444
                 _cons |  -.2877318   .0441552    -6.52   0.000    -.3808912   -.1945724
----------------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 240.2284547425807)

Linear regression, absorbing indicators         Number of obs     =        534
Absorbed variable: station_m                    No. of categories =         18
                                                F(   2,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0300
                                                Adj R-squared     =    -0.0078
                                                Root MSE          =     0.5542

                             (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------
             |               Robust
officer_~x_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |   .0239731   .0470791     0.51   0.617    -.0753551    .1233013
  miss_bline |   .2283676   .0347824     6.57   0.000     .1549832     .301752
  rank_m_spo |   .0163837   .0580331     0.28   0.781    -.1060555    .1388229
       _cons |  -.1843558   .0339487    -5.43   0.000    -.2559812   -.1127303
------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 306.8196909986436)

Linear regression, absorbing indicators         Number of obs     =        656
Absorbed variable: station_m                    No. of categories =         18
                                                F(   3,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1446
                                                Adj R-squared     =     0.1162
                                                Root MSE          =     0.7905

                             (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------
             |               Robust
 trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.1046698   .0781823    -1.34   0.198    -.2696199    .0602804
 trust_idx_m |   .3212344   .0643749     4.99   0.000     .1854153    .4570536
  miss_bline |   .1020299   .0504587     2.02   0.059    -.0044286    .2084885
  rank_m_spo |     .30325   .1315588     2.31   0.034     .0256851    .5808149
       _cons |  -.2713727   .0546184    -4.97   0.000    -.3866074    -.156138
------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 313.0664146579802)

Linear regression, absorbing indicators         Number of obs     =        671
Absorbed variable: station_m                    No. of categories =         18
                                                F(   2,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1073
                                                Adj R-squared     =     0.0798
                                                Root MSE          =     0.8066

                             (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------
             |               Robust
 trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.0639523   .0806643    -0.79   0.439     -.234139    .1062344
  miss_bline |   .0073181   .0583559     0.13   0.902    -.1158021    .1304384
  rank_m_spo |   .3295834   .1279208     2.58   0.020     .0596942    .5994726
       _cons |  -.2140477   .0644703    -3.32   0.004    -.3500681   -.0780272
------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 305.0568114630878)

Linear regression, absorbing indicators         Number of obs     =        652
Absorbed variable: station_m                    No. of categories =         18
                                                F(   3,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0628
                                                Adj R-squared     =     0.0316
                                                Root MSE          =     0.7724

                              (Std. Err. adjusted for 18 clusters in station_m)
-------------------------------------------------------------------------------
              |               Robust
empathy_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
 z_pop_assign |  -.0838825   .0973022    -0.86   0.401    -.2891721    .1214072
empathy_idx_m |   .2924533   .0593322     4.93   0.000     .1672733    .4176334
   miss_bline |   .0978841   .0445421     2.20   0.042     .0039084    .1918598
   rank_m_spo |   .0792735   .0774733     1.02   0.321    -.0841808    .2427279
        _cons |  -.1246274    .031548    -3.95   0.001    -.1911879    -.058067
-------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 310.5258280560374)

Linear regression, absorbing indicators         Number of obs     =        672
Absorbed variable: station_m                    No. of categories =         18
                                                F(   2,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0235
                                                Adj R-squared     =    -0.0065
                                                Root MSE          =     0.7898

                             (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------
             |               Robust
empathy_~x_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.0517281   .0916503    -0.56   0.580    -.2450932    .1416371
  miss_bline |  -.0045293   .0380456    -0.12   0.907    -.0847985      .07574
  rank_m_spo |   .0909749   .0786333     1.16   0.263    -.0749268    .2568766
       _cons |  -.0751764   .0318865    -2.36   0.031    -.1424509   -.0079019
------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 255.2538549005985)

Linear regression, absorbing indicators         Number of obs     =        536
Absorbed variable: station_m                    No. of categories =         18
                                                F(   3,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0904
                                                Adj R-squared     =     0.0532
                                                Root MSE          =     0.6712

                                     (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------
                     |               Robust
accountability_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
        z_pop_assign |  -.0435613   .1253464    -0.35   0.732    -.3080192    .2208965
accountability_idx_m |   .3496447   .0731851     4.78   0.000     .1952377    .5040517
          miss_bline |   .5317764   .0454331    11.70   0.000     .4359209    .6276319
          rank_m_spo |  -.0293069   .0818487    -0.36   0.725    -.2019925    .1433787
               _cons |  -.2910226    .036254    -8.03   0.000    -.3675118   -.2145333
--------------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 268.9468484893441)

Linear regression, absorbing indicators         Number of obs     =        587
Absorbed variable: station_m                    No. of categories =         18
                                                F(   2,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0480
                                                Adj R-squared     =     0.0144
                                                Root MSE          =     0.6797

                             (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------
             |               Robust
accounta~x_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |  -.0335454   .1185471    -0.28   0.781    -.2836579    .2165671
  miss_bline |   .4511017   .0497526     9.07   0.000     .3461329    .5560705
  rank_m_spo |  -.0241409   .0760011    -0.32   0.755    -.1844892    .1362075
       _cons |   -.235476   .0348505    -6.76   0.000     -.309004   -.1619479
------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 281.2104537524283)

Linear regression, absorbing indicators         Number of obs     =        589
Absorbed variable: station_m                    No. of categories =         18
                                                F(   3,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0712
                                                Adj R-squared     =     0.0368
                                                Root MSE          =     0.6891

                              (Std. Err. adjusted for 18 clusters in station_m)
-------------------------------------------------------------------------------
              |               Robust
corrupt_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
 z_pop_assign |   .1640697   .1384537     1.19   0.252    -.1280421    .4561815
corrupt_idx_m |   .2721279   .0596105     4.57   0.000     .1463608     .397895
   miss_bline |  -.2983139   .0331569    -9.00   0.000    -.3682689   -.2283589
   rank_m_spo |  -.1685466   .0558089    -3.02   0.008    -.2862931   -.0508001
        _cons |   .1332276   .0395212     3.37   0.004     .0498451      .21661
-------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout
(sum of wgt is 288.8208073265851)

Linear regression, absorbing indicators         Number of obs     =        621
Absorbed variable: station_m                    No. of categories =         18
                                                F(   2,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0396
                                                Adj R-squared     =     0.0076
                                                Root MSE          =     0.7112

                             (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------
             |               Robust
corrupt_~x_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
z_pop_assign |   .0995928   .1523481     0.65   0.522    -.2218335    .4210191
  miss_bline |   -.243322   .0277032    -8.78   0.000    -.3017707   -.1848733
  rank_m_spo |  -.1729504   .0542338    -3.19   0.005    -.2873737   -.0585272
       _cons |   .1253656   .0396814     3.16   0.006     .0416451    .2090861
------------------------------------------------------------------------------
TabA19_MainResults_weighted.tex
TabA19_MainResults_weighted.xls
dir : seeout

. 
. restore

. 
. *Replicate Table A.6: Heterogeneous Treatment Effects - Embeddedness

. preserve

. foreach i in top4match_pnplgu officer_attitude_idx trust_idx empathy_idx accountability_idx corrupt_idx {
  2. areg `i'_e  i.z_pop_assign##i.lives_in_sorsogon `i'_m miss_bline rank_m_spo [pweight=simple_weight], vc
> e(cl station_m) absorb(station_m)
  3. estimates store `i'_hw
  4. if "`i'" == "top4match_pnplgu" {
  5. outreg2 [`i'_hw] using  "TabA20_HetEffects_Embed_weighted.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_hw] using  "TabA20_HetEffects_Embed_weighted.xls", append  tex dec(2)
  9. }
 10. areg officer_attitude_idx_e  i.z_pop_assign##i.lives_in_sorsogon officer_attitude_idx_m miss_bline rank
> _m_spo [pweight=adjusted_weight], vce(cl station_m) absorb(station_m)
 11. estimates store officer_attitude_idx_wa
 12. outreg2 [officer_attitude_idx_wa] using  "TabA20_HetEffects_Embed_weighted.xls", append tex dec(2)
 13. }
(sum of wgt is 271.8190871328115)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        627
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =      17.20
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1020
                                                Adj R-squared     =     0.0693
                                                Root MSE          =     0.8145

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
            top4match_pnplgu_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .0921017   .1897394     0.49   0.634    -.3082135    .4924169
           1.lives_in_sorsogon |   .1250155   .0586538     2.13   0.048     .0012669    .2487642
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   .0883426   .1781327     0.50   0.626    -.2874845    .4641698
                               |
            top4match_pnplgu_m |   .2782037   .0456228     6.10   0.000     .1819481    .3744593
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1326012   .0815611    -1.63   0.122    -.3046801    .0394776
                         _cons |   1.196536   .0530276    22.56   0.000     1.084657    1.308414
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 105.6974149011075)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        341
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =      16.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1757
                                                Adj R-squared     =     0.1187
                                                Root MSE          =     0.5128

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
        officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2364722   .0699383     3.38   0.004     .0889153     .384029
           1.lives_in_sorsogon |   .2056402   .0410457     5.01   0.000     .1190414    .2922391
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   -.155418    .054786    -2.84   0.011    -.2710065   -.0398295
                               |
        officer_attitude_idx_m |   .3304715   .1027435     3.22   0.005     .1137017    .5472412
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1023125   .0909809    -1.12   0.276    -.2942655    .0896406
                         _cons |  -.2327661   .0590427    -3.94   0.001    -.3573352   -.1081969
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 222.8632028251886)

Linear regression, absorbing indicators         Number of obs     =        460
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0820
                                                Adj R-squared     =     0.0336
                                                Root MSE          =     0.5477

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
        officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .1638852   .0511936     3.20   0.005     .0558762    .2718942
           1.lives_in_sorsogon |   .1384631   .0141847     9.76   0.000     .1085361    .1683901
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.1005163   .0405613    -2.48   0.024    -.1860932   -.0149394
                               |
        officer_attitude_idx_m |    .309217   .1019509     3.03   0.008     .0941195    .5243146
                    miss_bline |   .4037554   .0452657     8.92   0.000     .3082532    .4992576
                    rank_m_spo |  -.0306283    .067792    -0.45   0.657     -.173657    .1124004
                         _cons |  -.4166776   .0387806   -10.74   0.000    -.4984976   -.3348576
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 105.6974149011075)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        341
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =      16.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1757
                                                Adj R-squared     =     0.1187
                                                Root MSE          =     0.5128

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
        officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2364722   .0699383     3.38   0.004     .0889153     .384029
           1.lives_in_sorsogon |   .2056402   .0410457     5.01   0.000     .1190414    .2922391
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   -.155418    .054786    -2.84   0.011    -.2710065   -.0398295
                               |
        officer_attitude_idx_m |   .3304715   .1027435     3.22   0.005     .1137017    .5472412
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1023125   .0909809    -1.12   0.276    -.2942655    .0896406
                         _cons |  -.2327661   .0590427    -3.94   0.001    -.3573352   -.1081969
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 306.8196909986436)

Linear regression, absorbing indicators         Number of obs     =        656
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1576
                                                Adj R-squared     =     0.1269
                                                Root MSE          =     0.7857

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
                   trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .4270294   .2118798     2.02   0.060    -.0199979    .8740567
           1.lives_in_sorsogon |   .2514391    .027866     9.02   0.000     .1926469    .3102313
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.5935289    .241373    -2.46   0.025    -1.102781   -.0842763
                               |
                   trust_idx_m |   .3346155   .0629624     5.31   0.000     .2017765    .4674546
                    miss_bline |   .1024231   .0501163     2.04   0.057     -.003313    .2081592
                    rank_m_spo |   .2988019   .1253546     2.38   0.029     .0343268     .563277
                         _cons |  -.4826086   .0627921    -7.69   0.000    -.6150885   -.3501288
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 105.6974149011075)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        341
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =      16.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1757
                                                Adj R-squared     =     0.1187
                                                Root MSE          =     0.5128

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
        officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2364722   .0699383     3.38   0.004     .0889153     .384029
           1.lives_in_sorsogon |   .2056402   .0410457     5.01   0.000     .1190414    .2922391
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   -.155418    .054786    -2.84   0.011    -.2710065   -.0398295
                               |
        officer_attitude_idx_m |   .3304715   .1027435     3.22   0.005     .1137017    .5472412
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1023125   .0909809    -1.12   0.276    -.2942655    .0896406
                         _cons |  -.2327661   .0590427    -3.94   0.001    -.3573352   -.1081969
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 305.0568114630878)

Linear regression, absorbing indicators         Number of obs     =        652
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0878
                                                Adj R-squared     =     0.0544
                                                Root MSE          =     0.7633

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
                 empathy_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .5012742   .1209887     4.14   0.001     .2460105     .756538
           1.lives_in_sorsogon |   .3607141   .0876032     4.12   0.001     .1758875    .5455407
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.6560594   .1242061    -5.28   0.000    -.9181113   -.3940076
                               |
                 empathy_idx_m |   .2880721   .0602783     4.78   0.000     .1608959    .4152483
                    miss_bline |   .0907757   .0451979     2.01   0.061    -.0045836     .186135
                    rank_m_spo |   .0747642   .0747468     1.00   0.331    -.0829378    .2324662
                         _cons |  -.4227183    .075568    -5.59   0.000    -.5821528   -.2632838
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 105.6974149011075)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        341
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =      16.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1757
                                                Adj R-squared     =     0.1187
                                                Root MSE          =     0.5128

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
        officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2364722   .0699383     3.38   0.004     .0889153     .384029
           1.lives_in_sorsogon |   .2056402   .0410457     5.01   0.000     .1190414    .2922391
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   -.155418    .054786    -2.84   0.011    -.2710065   -.0398295
                               |
        officer_attitude_idx_m |   .3304715   .1027435     3.22   0.005     .1137017    .5472412
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1023125   .0909809    -1.12   0.276    -.2942655    .0896406
                         _cons |  -.2327661   .0590427    -3.94   0.001    -.3573352   -.1081969
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 255.2538549005985)

Linear regression, absorbing indicators         Number of obs     =        536
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0915
                                                Adj R-squared     =     0.0507
                                                Root MSE          =     0.6721

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
          accountability_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .0481646   .1513094     0.32   0.754    -.2710703    .3673995
           1.lives_in_sorsogon |    .074009    .027338     2.71   0.015     .0163308    .1316872
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |  -.1022324   .2261971    -0.45   0.657    -.5794666    .3750018
                               |
          accountability_idx_m |   .3486556   .0774647     4.50   0.000     .1852194    .5120918
                    miss_bline |   .5427865   .0455722    11.91   0.000     .4466375    .6389354
                    rank_m_spo |  -.0321699    .081363    -0.40   0.697    -.2038308     .139491
                         _cons |  -.3599139   .0414485    -8.68   0.000    -.4473627   -.2724652
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 105.6974149011075)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        341
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =      16.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1757
                                                Adj R-squared     =     0.1187
                                                Root MSE          =     0.5128

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
        officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2364722   .0699383     3.38   0.004     .0889153     .384029
           1.lives_in_sorsogon |   .2056402   .0410457     5.01   0.000     .1190414    .2922391
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   -.155418    .054786    -2.84   0.011    -.2710065   -.0398295
                               |
        officer_attitude_idx_m |   .3304715   .1027435     3.22   0.005     .1137017    .5472412
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1023125   .0909809    -1.12   0.276    -.2942655    .0896406
                         _cons |  -.2327661   .0590427    -3.94   0.001    -.3573352   -.1081969
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 281.2104537524283)

Linear regression, absorbing indicators         Number of obs     =        589
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0813
                                                Adj R-squared     =     0.0439
                                                Root MSE          =     0.6866

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
                 corrupt_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |  -.2287279   .1499987    -1.52   0.146    -.5451975    .0877416
           1.lives_in_sorsogon |  -.1951555   .0666137    -2.93   0.009     -.335698   -.0546129
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   .4294545   .2148122     2.00   0.062    -.0237597    .8826686
                               |
                 corrupt_idx_m |   .2727328   .0619864     4.40   0.000      .141953    .4035127
                    miss_bline |  -.2937445   .0333338    -8.81   0.000    -.3640726   -.2234164
                    rank_m_spo |  -.1615998   .0525581    -3.07   0.007    -.2724877   -.0507118
                         _cons |   .2955167   .0403732     7.32   0.000     .2103366    .3806967
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout
(sum of wgt is 105.6974149011075)
note: miss_bline omitted because of collinearity

Linear regression, absorbing indicators         Number of obs     =        341
Absorbed variable: station_m                    No. of categories =         18
                                                F(   5,     17)   =      16.85
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1757
                                                Adj R-squared     =     0.1187
                                                Root MSE          =     0.5128

                                               (Std. Err. adjusted for 18 clusters in station_m)
------------------------------------------------------------------------------------------------
                               |               Robust
        officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------------+----------------------------------------------------------------
                1.z_pop_assign |   .2364722   .0699383     3.38   0.004     .0889153     .384029
           1.lives_in_sorsogon |   .2056402   .0410457     5.01   0.000     .1190414    .2922391
                               |
z_pop_assign#lives_in_sorsogon |
                          1 1  |   -.155418    .054786    -2.84   0.011    -.2710065   -.0398295
                               |
        officer_attitude_idx_m |   .3304715   .1027435     3.22   0.005     .1137017    .5472412
                    miss_bline |          0  (omitted)
                    rank_m_spo |  -.1023125   .0909809    -1.12   0.276    -.2942655    .0896406
                         _cons |  -.2327661   .0590427    -3.94   0.001    -.3573352   -.1081969
------------------------------------------------------------------------------------------------
TabA20_HetEffects_Embed_weighted.tex
TabA20_HetEffects_Embed_weighted.xls
dir : seeout

. 
. restore

. 
. *Replicate Table A.7: Heterogeneous Treatment Effects - Rebel Presence (Trust Outcomes)

. preserve

. foreach i in trust_idx trust_safe trust_intent trust_info npa_sympathy {
  2. reg `i'_e  i.z_pop_assign##c.npa_2015_presence `i'_m miss_bline rank_m_spo [pweight=simple_weight], vce
> (cl station_m)
  3. estimates store `i'_nw
  4. if "`i'" == "trust_idx" {
  5. outreg2 [`i'_nw] using  "TabA21_HetEffects_NPAsub_weighted.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_nw] using  "TabA21_HetEffects_NPAsub_weighted.xls", append  tex dec(2)
  9. }
 10. reg trust_idx_e i.z_pop_assign##c.npa_2015_presence trust_idx_m miss_bline rank_m_spo [pweight=adjusted
> _weight], vce(cl station_m)
 11. estimates store trust_idx_wa
 12. outreg2 [trust_idx_wa] using  "TabA21_HetEffects_NPAsub_weighted.xls", append tex dec(2)
 13. }
(sum of wgt is 262.8196909986436)

Linear regression                               Number of obs     =        612
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1372
                                                Root MSE          =     .77315

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                     trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1630901    .089393     1.82   0.086    -.0255127    .3516928
               npa_2015_presence |   .2728705   .0620109     4.40   0.000     .1420389    .4037021
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.6788519   .1466447    -4.63   0.000    -.9882452   -.3694586
                                 |
                     trust_idx_m |   .3601386   .0547313     6.58   0.000     .2446657    .4756115
                      miss_bline |  -.1192534   .0556871    -2.14   0.047    -.2367428   -.0017639
                      rank_m_spo |   .3206838   .1276022     2.51   0.022     .0514666     .589901
                           _cons |  -.2356461   .0687406    -3.43   0.003    -.3806762   -.0906161
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 141.6214069128036)

Linear regression                               Number of obs     =        488
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2072
                                                Root MSE          =     .69227

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                     trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |    .173202   .1070444     1.62   0.124    -.0526419    .3990458
               npa_2015_presence |    .178315   .2011149     0.89   0.388    -.2460004    .6026304
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5881847   .2172549    -2.71   0.015    -1.046552    -.129817
                                 |
                     trust_idx_m |   .3979971     .05376     7.40   0.000     .2845734    .5114208
                      miss_bline |  -.3262111   .0598667    -5.45   0.000    -.4525188   -.1999034
                      rank_m_spo |   .2143655   .1005108     2.13   0.048     .0023062    .4264247
                           _cons |  -.1651108   .0979262    -1.69   0.110    -.3717169    .0414954
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 277.3403742872179)

Linear regression                               Number of obs     =        635
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1082
                                                Root MSE          =     24.032

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                    trust_safe_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   5.496972   2.480226     2.22   0.041     .2641515    10.72979
               npa_2015_presence |    7.19845   2.491408     2.89   0.010     1.942038    12.45486
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -24.61303   4.706549    -5.23   0.000    -34.54298   -14.68308
                                 |
                    trust_safe_m |   .2903466   .0534112     5.44   0.000     .1776588    .4030343
                      miss_bline |   17.45135   4.202834     4.15   0.001     8.584143    26.31855
                      rank_m_spo |   9.013065   3.403658     2.65   0.017     1.831974    16.19415
                           _cons |   47.24157    4.07671    11.59   0.000     38.64046    55.84268
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 141.6214069128036)

Linear regression                               Number of obs     =        488
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2072
                                                Root MSE          =     .69227

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                     trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |    .173202   .1070444     1.62   0.124    -.0526419    .3990458
               npa_2015_presence |    .178315   .2011149     0.89   0.388    -.2460004    .6026304
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5881847   .2172549    -2.71   0.015    -1.046552    -.129817
                                 |
                     trust_idx_m |   .3979971     .05376     7.40   0.000     .2845734    .5114208
                      miss_bline |  -.3262111   .0598667    -5.45   0.000    -.4525188   -.1999034
                      rank_m_spo |   .2143655   .1005108     2.13   0.048     .0023062    .4264247
                           _cons |  -.1651108   .0979262    -1.69   0.110    -.3717169    .0414954
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 274.0323980785906)

Linear regression                               Number of obs     =        628
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0943
                                                Root MSE          =     20.591

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                  trust_intent_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   6.284566   1.932997     3.25   0.005     2.206298    10.36283
               npa_2015_presence |   8.979804   1.927018     4.66   0.000     4.914151    13.04546
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -22.38452   5.198381    -4.31   0.000    -33.35215    -11.4169
                                 |
                  trust_intent_m |   .2524469   .0621528     4.06   0.001      .121316    .3835777
                      miss_bline |   16.31522   5.666689     2.88   0.010     4.359552    28.27089
                      rank_m_spo |   5.015387   2.257389     2.22   0.040     .2527124    9.778061
                           _cons |   53.73876   5.695316     9.44   0.000     41.72269    65.75482
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 141.6214069128036)

Linear regression                               Number of obs     =        488
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2072
                                                Root MSE          =     .69227

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                     trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |    .173202   .1070444     1.62   0.124    -.0526419    .3990458
               npa_2015_presence |    .178315   .2011149     0.89   0.388    -.2460004    .6026304
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5881847   .2172549    -2.71   0.015    -1.046552    -.129817
                                 |
                     trust_idx_m |   .3979971     .05376     7.40   0.000     .2845734    .5114208
                      miss_bline |  -.3262111   .0598667    -5.45   0.000    -.4525188   -.1999034
                      rank_m_spo |   .2143655   .1005108     2.13   0.048     .0023062    .4264247
                           _cons |  -.1651108   .0979262    -1.69   0.110    -.3717169    .0414954
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 269.4385885447264)

Linear regression                               Number of obs     =        628
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0947
                                                Root MSE          =     17.725

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                    trust_info_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   1.833496   1.954061     0.94   0.361    -2.289213    5.956204
               npa_2015_presence |   4.020782   1.059915     3.79   0.001     1.784558    6.257007
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -5.135502   3.004899    -1.71   0.106    -11.47529    1.204281
                                 |
                    trust_info_m |    .256673   .0384336     6.68   0.000     .1755852    .3377609
                      miss_bline |   18.26775   2.696813     6.77   0.000     12.57798    23.95753
                      rank_m_spo |   7.027235   3.278512     2.14   0.047     .1101785    13.94429
                           _cons |   54.18296   2.564889    21.12   0.000     48.77151     59.5944
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 141.6214069128036)

Linear regression                               Number of obs     =        488
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2072
                                                Root MSE          =     .69227

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                     trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |    .173202   .1070444     1.62   0.124    -.0526419    .3990458
               npa_2015_presence |    .178315   .2011149     0.89   0.388    -.2460004    .6026304
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5881847   .2172549    -2.71   0.015    -1.046552    -.129817
                                 |
                     trust_idx_m |   .3979971     .05376     7.40   0.000     .2845734    .5114208
                      miss_bline |  -.3262111   .0598667    -5.45   0.000    -.4525188   -.1999034
                      rank_m_spo |   .2143655   .1005108     2.13   0.048     .0023062    .4264247
                           _cons |  -.1651108   .0979262    -1.69   0.110    -.3717169    .0414954
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 276.0486851893365)

Linear regression                               Number of obs     =        636
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1303
                                                Root MSE          =     25.923

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                  npa_sympathy_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |    -7.1926   2.074473    -3.47   0.003    -11.56936   -2.815843
               npa_2015_presence |  -5.390491   1.232905    -4.37   0.000    -7.991693   -2.789289
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |    16.1338   7.534827     2.14   0.047     .2366994    32.03089
                                 |
                  npa_sympathy_m |   .3792009   .0616772     6.15   0.000     .2490734    .5093285
                      miss_bline |   21.31186   3.035889     7.02   0.000     14.90669    27.71703
                      rank_m_spo |  -4.976539    3.35959    -1.48   0.157    -12.06465    2.111576
                           _cons |    32.9528    3.39756     9.70   0.000     25.78458    40.12103
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout
(sum of wgt is 141.6214069128036)

Linear regression                               Number of obs     =        488
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.2072
                                                Root MSE          =     .69227

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                     trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |    .173202   .1070444     1.62   0.124    -.0526419    .3990458
               npa_2015_presence |    .178315   .2011149     0.89   0.388    -.2460004    .6026304
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.5881847   .2172549    -2.71   0.015    -1.046552    -.129817
                                 |
                     trust_idx_m |   .3979971     .05376     7.40   0.000     .2845734    .5114208
                      miss_bline |  -.3262111   .0598667    -5.45   0.000    -.4525188   -.1999034
                      rank_m_spo |   .2143655   .1005108     2.13   0.048     .0023062    .4264247
                           _cons |  -.1651108   .0979262    -1.69   0.110    -.3717169    .0414954
--------------------------------------------------------------------------------------------------
TabA21_HetEffects_NPAsub_weighted.tex
TabA21_HetEffects_NPAsub_weighted.xls
dir : seeout

. 
. restore

. 
. *Replicate Table A.8: Heterogeneous Treatment Effects - Rebel Presence

. preserve

. foreach i in top4match_pnplgu officer_attitude_idx trust_idx empathy_idx accountability_idx corrupt_idx tr
> ust_idx_alt {
  2. reg `i'_e  i.z_pop_assign##c.npa_2015_presence `i'_m miss_bline rank_m_spo [pweight=simple_weight], vce
> (cl station_m)
  3. estimates store `i'_ww
  4. if "`i'" == "top4match_pnplgu" {
  5. outreg2 [`i'_ww] using  "TabA22_HetEffects_NPA_weighted.xls", replace  tex dec(2)
  6. }
  7. else {
  8. outreg2 [`i'_ww] using  "TabA22_HetEffects_NPA_weighted.xls", append tex dec(2)
  9. }
 10. }
(sum of wgt is 271.8190871328115)

Linear regression                               Number of obs     =        627
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0673
                                                Root MSE          =     .81923

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
              top4match_pnplgu_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1565727   .1306047     1.20   0.247    -.1189792    .4321246
               npa_2015_presence |   .1736781   .1216722     1.43   0.172    -.0830278     .430384
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   .0508567   .3179838     0.16   0.875    -.6200306    .7217439
                                 |
              top4match_pnplgu_m |    .277072   .0410383     6.75   0.000     .1904888    .3636552
                      miss_bline |   .3200069   .0644813     4.96   0.000     .1839632    .4560506
                      rank_m_spo |    -.11347   .0856117    -1.33   0.203    -.2940948    .0671549
                           _cons |   1.089694   .0811459    13.43   0.000     .9184915    1.260897
--------------------------------------------------------------------------------------------------
TabA22_HetEffects_NPA_weighted.tex
TabA22_HetEffects_NPA_weighted.xls
dir : seeout
(sum of wgt is 193.8632028251886)

Linear regression                               Number of obs     =        431
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0742
                                                Root MSE          =     .53692

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
          officer_attitude_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .0405211    .054152     0.75   0.465    -.0737297    .1547719
               npa_2015_presence |  -.2839054   .0458041    -6.20   0.000    -.3805435   -.1872673
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   .0860075   .1450434     0.59   0.561    -.2200073    .3920224
                                 |
          officer_attitude_idx_m |   .2933629   .1004942     2.92   0.010     .0813387    .5053871
                      miss_bline |  -.0046389   .0440942    -0.11   0.917    -.0976695    .0883917
                      rank_m_spo |  -.0014824   .0679561    -0.02   0.983    -.1448572    .1418925
                           _cons |   .0048239   .0475371     0.10   0.920    -.0954707    .1051184
--------------------------------------------------------------------------------------------------
TabA22_HetEffects_NPA_weighted.tex
TabA22_HetEffects_NPA_weighted.xls
dir : seeout
(sum of wgt is 262.8196909986436)

Linear regression                               Number of obs     =        612
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1372
                                                Root MSE          =     .77315

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                     trust_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1630901    .089393     1.82   0.086    -.0255127    .3516928
               npa_2015_presence |   .2728705   .0620109     4.40   0.000     .1420389    .4037021
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.6788519   .1466447    -4.63   0.000    -.9882452   -.3694586
                                 |
                     trust_idx_m |   .3601386   .0547313     6.58   0.000     .2446657    .4756115
                      miss_bline |  -.1192534   .0556871    -2.14   0.047    -.2367428   -.0017639
                      rank_m_spo |   .3206838   .1276022     2.51   0.022     .0514666     .589901
                           _cons |  -.2356461   .0687406    -3.43   0.003    -.3806762   -.0906161
--------------------------------------------------------------------------------------------------
TabA22_HetEffects_NPA_weighted.tex
TabA22_HetEffects_NPA_weighted.xls
dir : seeout
(sum of wgt is 263.0568114630878)

Linear regression                               Number of obs     =        610
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0615
                                                Root MSE          =     .74039

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                   empathy_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |  -.0213028   .0910737    -0.23   0.818    -.2134516     .170846
               npa_2015_presence |   .0746399   .0360423     2.07   0.054    -.0014028    .1506826
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.1618293    .163466    -0.99   0.336    -.5067125    .1830538
                                 |
                   empathy_idx_m |   .2940592   .0566706     5.19   0.000     .1744947    .4136237
                      miss_bline |  -.0353372   .0389657    -0.91   0.377    -.1175478    .0468733
                      rank_m_spo |   .1548559   .1079838     1.43   0.170    -.0729701    .3826819
                           _cons |  -.0823247   .0442712    -1.86   0.080    -.1757287    .0110793
--------------------------------------------------------------------------------------------------
TabA22_HetEffects_NPA_weighted.tex
TabA22_HetEffects_NPA_weighted.xls
dir : seeout
(sum of wgt is 219.2538549005985)

Linear regression                               Number of obs     =        500
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0784
                                                Root MSE          =     .65745

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
            accountability_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |  -.1268887    .129943    -0.98   0.343    -.4010445    .1472671
               npa_2015_presence |   -.345957   .0711462    -4.86   0.000    -.4960625   -.1958516
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |   .3649815   .1921126     1.90   0.075    -.0403407    .7703037
                                 |
            accountability_idx_m |   .3701614   .0654759     5.65   0.000     .2320192    .5083036
                      miss_bline |   .0571436   .0428912     1.33   0.200    -.0333489    .1476361
                      rank_m_spo |   -.045844   .0731463    -0.63   0.539    -.2001693    .1084813
                           _cons |   .0663393   .0460207     1.44   0.168    -.0307559    .1634345
--------------------------------------------------------------------------------------------------
TabA22_HetEffects_NPA_weighted.tex
TabA22_HetEffects_NPA_weighted.xls
dir : seeout
(sum of wgt is 246.2104537524283)

Linear regression                               Number of obs     =        554
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.0734
                                                Root MSE          =      .6587

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                   corrupt_idx_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1585727   .1508441     1.05   0.308    -.1596807     .476826
               npa_2015_presence |  -.1746863   .0311444    -5.61   0.000    -.2403953   -.1089773
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.1857924   .2107838    -0.88   0.390    -.6305074    .2589227
                                 |
                   corrupt_idx_m |   .2615348   .0596971     4.38   0.000     .1355849    .3874848
                      miss_bline |   -.100244   .0496016    -2.02   0.059    -.2048943    .0044063
                      rank_m_spo |  -.1726617   .0592253    -2.92   0.010    -.2976161   -.0477073
                           _cons |   .0853925   .0571961     1.49   0.154    -.0352806    .2060656
--------------------------------------------------------------------------------------------------
TabA22_HetEffects_NPA_weighted.tex
TabA22_HetEffects_NPA_weighted.xls
dir : seeout
(sum of wgt is 276.7028742842376)

Linear regression                               Number of obs     =        634
                                                F(5, 17)          =          .
                                                Prob > F          =          .
                                                R-squared         =     0.1349
                                                Root MSE          =     .78002

                                                 (Std. Err. adjusted for 18 clusters in station_m)
--------------------------------------------------------------------------------------------------
                                 |               Robust
                 trust_idx_alt_e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------------------+----------------------------------------------------------------
                  1.z_pop_assign |   .1940802   .0842904     2.30   0.034     .0162431    .3719173
               npa_2015_presence |   .2976485   .0640298     4.65   0.000     .1625574    .4327397
                                 |
z_pop_assign#c.npa_2015_presence |
                              1  |  -.7172448   .1536916    -4.67   0.000    -1.041506   -.3929838
                                 |
                 trust_idx_alt_m |   .3644329   .0548528     6.64   0.000     .2487036    .4801622
                      miss_bline |  -.1346996   .0555207    -2.43   0.027    -.2518379   -.0175612
                      rank_m_spo |   .2849321   .1264161     2.25   0.038     .0182176    .5516467
                           _cons |  -.2401092   .0682791    -3.52   0.003    -.3841655   -.0960529
--------------------------------------------------------------------------------------------------
TabA22_HetEffects_NPA_weighted.tex
TabA22_HetEffects_NPA_weighted.xls
dir : seeout

. 
. restore

. 
. log close
      name:  <unnamed>
       log:  /Users/dotanhaim/Dropbox/DHNR Philippine Police/3. EGAP (POP - One Sorsogon Reloaded)/3.14 - Re
> plication Files/Effects on PNP/HRS_APSR_Replication/3_Tables/0_raw/bootstrapped_logfile.log
  log type:  text
 closed on:  23 Jul 2024, 14:43:13
------------------------------------------------------------------------------------------------------------
